Deep Learning with TensorFlow

120 minutes of course content

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Course Description

Channel the power of deep learning with Google's TensorFlow!

In Detail

Deep learning is the intersection of statistics, artificial intelligence, and data to build accurate models and TensorFlow is one of the newest and most comprehensive libraries for implementing deep learning. With deep learning going mainstream, making sense of data and getting accurate results using deep networks is possible. This course is your guide to exploring the possibilities with deep learning; it will enable you to understand data like never before. With the efficiency and simplicity of TensorFlow, you will be able to process your data and gain insights that will change how you look at data.

With this video course, you will dig your teeth deeper into the hidden layers of abstraction using raw data. This course will offer you various complex algorithms for deep learning and various examples that use these deep neural networks. You will also learn how to train your machine to craft new features to make sense of deeper layers of data. During the video course, you will come across topics such as logistic regression, convolutional neural networks, recurrent neural networks, training deep networks, high level interfaces, and more.

With the help of novel practical examples, you will become an ace at advanced multilayer networks, image recognition, and beyond.

After taking this course, you will be able to:

Explore various possibilities with deep learning and gain amazing insights from data using Google’s brainchild—TensorFlow

Want to learn what more can be done with deep learning? Explore various neural networks with the help of this comprehensive guide!

Rich in concepts, this is an advanced guide on deep learning that will give you the background to innovate in your environment

This course is for professionals within the following business functions:

If you are a data scientist who performs machine learning on a regular basis, are familiar with deep neural networks, and now want to gain expertise working with convoluted neural networks, then this course is for you.

Getting Started - 26 Minutes

The Course Overview

Installing TensorFlow

Simple Computations

Logistic Regression Model Building

Logistic Regression Training

Deep Neural Networks - 25 Minutes

Basic Neural Nets

Single Hidden Layer Model

Single Hidden Layer Explained

Multiple Hidden Layer Model

Multiple Hidden Layer Results

Convolutional Neural Networks - 39 Minutes

Convolutional Layer Motivation

Convolutional Layer Application

Pooling Layer Motivation

Pooling Layer Application

Deep CNN

Deeper CNN

Wrapping Up Deep CNN

Recurrent Neural Networks - 23 Minutes

Introducing Recurrent Neural Networks

skflow

RNNs in skflow

Wrapping Up - 7 Minutes

Research Evaluation

The Future of TensorFlow

About the Expert

Packt

Packt has been committed to developer learning since 2004. A lot has changed in software since then - but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work. With an extensive library of content - more than 4000 books and video courses -Packt's mission is to help developers stay relevant in a rapidly changing world. From new web frameworks and programming languages, to cutting edge data analytics, and DevOps, Packt takes software professionals in every field to what's important to them now. From skills that will help you to develop and future proof your career to immediate solutions to every day tech challenges, Packt is a go-to resource to make you a better, smarter developer. Packt Learning.ly courses continue this tradition, bringing you comprehensive yet concise video courses straight from the experts.